LikelihoodBound.poisres

<code>LikelihoodBound.poisres</code> solves the confidence interval for a Poisson model, starting at the optimum point and
iteratively optimizing end-points of intervals.

Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards, Poisson, and Fine-Gray competing risks regression are supported. This work was sponsored by NASA Grants 80NSSC19M0161 and 80NSSC23M0129 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.

Eric Giunta

Colossus

"Risk Model Regression and Analysis with Complex Non-Linear
Models"

Amir Bahadori

Dan Andresen

Linda Walsh

Benjamin French

Lawrence Dauer

John Boice Jr

Kansas State University 

NASA 

NCRP 

NRC 

LikelihoodBound.poisres function

<dl><dt>x</dt>
<dd>result object from a regression, class poisres</dd>
<dt>df</dt>
<dd>a data.table containing the columns of interest</dd>
<dt>curve_control</dt>
<dd>a list of control options for the likelihood boundary regression. See the Control_Options vignette for details.</dd>
<dt>control</dt>
<dd>list of parameters controlling the convergence, see the Control_Options vignette for details</dd>
<dt>...</dt>
<dd>can include the named entries for the curve_control list parameter</dd></dl>

Arguments

Calculates the likelihood boundary for a completed Poisson model — LikelihoodBound.poisres

<dl>

<dt>x</dt>
<dd>result object from a regression, class poisres</dd>


<dt>df</dt>
<dd>a data.table containing the columns of interest</dd>


<dt>curve_control</dt>
<dd>a list of control options for the likelihood boundary regression. See the Control_Options vignette for details.</dd>


<dt>control</dt>
<dd>list of parameters controlling the convergence, see the Control_Options vignette for details</dd>


<dt>...</dt>
<dd>can include the named entries for the curve_control list parameter</dd>

</dl>

Calculates the likelihood boundary for a completed Poisson model

LikelihoodBound.poisres: Calculates the likelihood boundary for a completed Poisson model

Description

Usage

Value

Arguments

See Also